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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers.
Leers, Math P G; Deneer, Ruben; Mostard, Guy J M; Mostard, Remy L M; Boer, Arjen-Kars; Scharnhorst, Volkher; Stals, Frans; Kleinveld, Henne A; van Dam, Dirk W.
Afiliação
  • Leers MPG; Department of Clinical Chemistry & Hematology, Zuyderland Medical Center, Heerlen-Sittard, The Netherlands.
  • Deneer R; Department Of Clinical Chemistry & Hematology, Catharina Hospital, Eindhoven, The Netherlands.
  • Mostard GJM; TU/E (Technical University), Eindhoven, The Netherlands.
  • Mostard RLM; Department of Internal Medicine, Zuyderland Medical Center, Heerlen-Sittard, The Netherlands.
  • Boer AK; Department of Pulmonology, Zuyderland Medical Center, Heerlen-Sittard, The Netherlands.
  • Scharnhorst V; Department Of Clinical Chemistry & Hematology, Catharina Hospital, Eindhoven, The Netherlands.
  • Stals F; Department Of Clinical Chemistry & Hematology, Catharina Hospital, Eindhoven, The Netherlands.
  • Kleinveld HA; Department of Medical Microbiology & Infectionprevention, Zuyderland Medical Center, Heerlen-Sittard, The Netherlands.
  • van Dam DW; Department of Clinical Chemistry & Hematology, Zuyderland Medical Center, Heerlen-Sittard, The Netherlands.
PLoS One ; 17(6): e0270548, 2022.
Article em En | MEDLINE | ID: mdl-35763522
ABSTRACT

BACKGROUND:

COVID-19 is an ongoing pandemic leading to exhaustion of the hospital care system. Our health care system has to deal with a high level of sick leave of health care workers (HCWs) with COVID-19 related complaints, in whom an infection with SARS-CoV-2 has to be ruled out before they can return back to work. The aim of the present study is to investigate if the recently described CoLab-algorithm can be used to exclude COVID-19 in a screening setting of HCWs.

METHODS:

In the period from January 2021 till March 2021, HCWs with COVID-19-related complaints were prospectively collected and included in this study. Next to the routinely performed SARS-CoV-2 RT-PCR, using a set of naso- and oropharyngeal swab samples, two blood tubes (one EDTA- and one heparin-tube) were drawn for analysing the 10 laboratory parameters required for running the CoLab-algorithm.

RESULTS:

In total, 726 HCWs with a complete CoLab-laboratory panel were included in this study. In this group, 684 HCWs were tested SARS-CoV-2 RT-PCR negative and 42 cases RT-PCR positive. ROC curve analysis showed an area under the curve (AUC) of 0.853 (95% CI 0.801-0.904). At a safe cut-off value for excluding COVID-19 of -6.525, the sensitivity was 100% with a specificity of 34% (95% CI 21 to 49%). No SARS-CoV-2 RT-PCR cases were missed with this cut-off and COVID-19 could be safely ruled out in more than one third of HCWs.

CONCLUSION:

The CoLab-score is an easy and reliable algorithm that can be used for screening HCWs with COVID-19 related complaints. A major advantage of this approach is that the results of the score are available within 1 hour after collecting the samples. This results in a faster return to labour process of a large part of the COVID-19 negative HCWs (34%), next to a reduction in RT-PCR tests (reagents and labour costs) that can be saved.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda